CN109799498B - Intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT - Google Patents
Intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT Download PDFInfo
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Abstract
The invention discloses an intelligent roll paper monitoring system based on a millimeter wave radar and NB-IoT, which comprises a roll paper device end and a cloud server end, wherein the roll paper device end is mainly used for acquiring envelope data formed by an iron core and roll paper by an ultra-wideband millimeter wave radar sensor and transmitting the data to the server end by the NB-IoT; then the server end transmits the analysis result to the paper rolling device end, and then the analysis result is displayed on the paper rolling device; the cloud server is mainly responsible for receiving data and then processing the data; through data processing, the conclusion of the total consumption of the roll paper, the existence of waste and the abnormal use of a single device can be obtained; and then returned to the device or displayed on a web page. The invention ensures that the roll paper amount in the paper rolling device is recorded in a digital form and is more visually represented before people; meanwhile, the damage condition of the equipment can be detected, and the maintenance is guaranteed; the civilization development degree of China and the living standard of people are improved.
Description
Technical Field
The invention relates to an intelligent roll paper monitoring system based on a millimeter wave radar and an NB-IoT.
Background
The ultra-wideband millimeter wave radar sensor is a novel sensor which generates and transmits and receives millimeter waves by itself, and realizes accurate ranging and material identification by analyzing the signal intensity of different objects with different distances. The millimeter wave radar has the advantages of strong anti-interference capability, high detection precision, small equipment volume, light weight and the like, the high-speed digital signal processing technology such as the FPGA and the like is continuously improved, the application field of the millimeter wave is wider and wider, and the millimeter wave radar has positive effects in the fields of short-range detection, collision early warning, automatic navigation, environment monitoring and the like.
And transmitting the processed millimeter wave radar data to a database of a cloud server through udp and coach protocols by adopting an NB-IoT protocol of a low-power-consumption wide area network. The NB-IoT adopts an ultra-narrow band carrier technology, repeated information transmission, a simplified design based on an LTE network protocol and other modes to sacrifice the characteristics of a certain speed, time delay, mobility and the like, so as to obtain the carrying capacity facing the LPWA Internet of things. NB-IoT as a new narrowband cellular communication solution has four major features: the coverage is wide and deep, and NB-IoT covers 20dB + more than the existing GPRS under the same frequency band, so that the coverage area is wider and the penetration capability is stronger; secondly, the method has the capacity of 'mass' connection, namely a 50k + user capacity 200khz cell; thirdly, the power consumption of the terminal is low, and based on the AA battery, the NB-IoT module can be used for 10 years theoretically in standby time; and fourthly, the module has low cost, and the power supply and communication are lower than the GPRS in terms of operation cost. The NB-IoT has many advantages, and can adopt 3 working modes of in-band, guard band or independent carrier respectively according to scenes; meanwhile, upgrading and reconstruction are carried out based on the existing network, coexistence with the existing network is realized, and NB-IoT is one of the most ideal technical schemes of the intelligent roll paper detection system to a great extent.
The use of Kalman filtering is theoretically to acquire a true value so that a signal value acquired in an experiment stays in a relatively stable state. The method is an algorithm for carrying out optimal estimation through observation data of a system by using a linear system state equation. The optimal estimation can also be considered as a filtering process, since there may be noise and interference effects during the observation of the data.
Cloud data management and related art approaches are most straightforward in terms of centralized sensor data processing. The data of the paper winder end is stored in the cloud database and subjected to data analysis, and a manager knows the use condition of the equipment and the use condition of the roll paper in real time through the analyzed data, and supplements the roll paper, maintains the paper winder and treats foreign matters in real time.
Disclosure of Invention
The invention aims to provide an intelligent roll paper monitoring system based on a millimeter wave radar and NB-IoT, which enables the roll paper amount in a paper rolling device to be recorded in a digital form and more intuitively represented before people; meanwhile, the damage condition of the equipment can be detected, and timely maintenance is guaranteed; solving the rational management of the roll paper is a key step for promoting the 'toilet revolution'. At present, a perfect toilet paper management system is not provided internationally, the problem can be perfectly solved after the system is gradually perfected, and the civilization development degree of China and the living standard of people are improved.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT comprises a roll paper device end and a cloud service end, wherein the roll paper device end is mainly used for acquiring envelope data formed by an iron core and roll paper by an ultra-wideband millimeter wave radar sensor and transmitting the data to a server end by the NB-IoT; then the server end transmits the analysis result to the paper rolling device end, and then the analysis result is displayed on the paper rolling device; the cloud server is mainly responsible for receiving data and then processing the data; through data processing, the conclusion of the total consumption of the roll paper, the existence of waste and the abnormal use of a single device can be obtained; then, the data is transmitted back to the equipment or displayed on a webpage; the treatment process comprises the following steps:
1) initializing a system, and acquiring signal intensity; the system initialization is to obtain the reflected signal intensity of the sensor under the two conditions of full roll paper and no roll paper in the current paper rolling device so as to calculate the residual percentage of the roll paper; sending a millimeter wave signal, measuring a roll of roll paper with metal as an inner core, obtaining a chart with a sector area right in front of the sensor and an abscissa as a distance and an ordinate as signal intensity, and obtaining signal intensity A when roll paper is full and signal intensity B when roll paper is empty by calculating a stable waveform;
2) collecting a reflection signal and carrying out filtering processing; normally loading roll paper, and carrying out data acquisition on the roll paper by using a millimeter wave radar surface; obtaining signal intensity R through calculation, and performing Kalman filtering on the signal intensity R to obtain current signal intensity C;
3) obtaining the residual amount of the roll paper; the signal intensity A when the roll paper is full, the signal intensity B when the roll paper is empty and the current signal intensity C obtained in the previous two steps are substituted into the following formula: and (C-A)/(B-A), the residual amount of the roll paper can be obtained, and the purpose of roll paper detection is achieved.
The method for calculating the signal intensity A when the roll paper is full and the signal intensity B when the roll paper is empty by calculating the stable waveform in the step 1) comprises the following steps:
firstly, inputting: amplitude array P = { P0, P1, P2, …, PN }, the pitch of each dot in the array is 0.48 mm; the input P0-PN value is the signal strength received by the sensor;
step S1: setting a threshold value S, judging whether the Px-1< S & & Px > S exists or not, and returning to NULL if the Px-1< S & & Px > S does not exist; and if the X is the minimum X, judging whether Py-1> S & & Py < S exists, if so, taking the minimum Y as Y, and if not, taking N as Y.
Step S2: taking Pxy = { Px, …, Py } according to X and Y, and obtaining the maximum value Pmax in Pxy as the signal intensity, wherein the distance = (max +1) × 0.48; through the steps, when the roll paper is full, the measured Pmax is A; when the roll paper is empty, Pmax measured is B.
The maximum value Pmax obtained in the step 1) in the step 2) is used as the current signal strength R, and the step of obtaining the current signal strength C after performing kalman filtering on the signal strength R comprises the following steps:
firstly, inputting: calculating the obtained signal intensity R in the step 1); r is the Pmax value and represents the current signal strength;
step S1: setting the measurement R as a measurement error, Q as a system error, a Kalman filtering result on C _ last and P _ last as a covariance; c _ mid = C _ last, P _ mid = P _ last + Q;
step S2: let KG be kalman gain, KG = P _ mid/(P _ mid + R);
step S3: returning the Kalman filtering result C = C _ mid + KG (R-C _ mid);
step S4: calculating a covariance P _ now = (1-KG) × P _ mid;
step S5: update covariance P _ last = P _ now;
step S6: updating a Kalman filtering result C _ last = C;
c is the current signal and is updated in real time.
The invention has the beneficial effects that: (1) by using the millimeter wave radar sensor, the conditions in a plurality of paper winders can be known; (2) the NB-IoT module is used for transmitting data, so that communication can be realized without depending on traditional networks such as network cables, wireless local area networks and the like; (3) and uploading data and performing operation at the cloud. Obtaining a more accurate conclusion through multi-device comparison; (4) the server side analyzes the cloud data and can make a prompt. The invention ensures that the roll paper amount in the paper rolling device is recorded in a digital form and is more visually represented before people; meanwhile, the damage condition of the equipment can be detected, and the instant maintenance is ensured; solving the rational management of the roll paper is a key step for promoting the 'toilet revolution'. The civilization development degree of China and the living standard of people are improved.
Drawings
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a diagram showing ripples returned by detecting the envelope data of the metal rod in embodiment 1 of the present invention;
FIG. 3 is a diagram showing the corrugation of the roll paper in which the metal rod is an inner core in example 1 of the present invention.
Detailed Description
Example 1
The intelligent roll paper monitoring system based on the millimeter wave radar and the NB-IoT comprises a roll paper device end and a cloud server end, wherein the roll paper device end is mainly used for acquiring envelope data formed by an iron core and roll paper by an ultra-wideband millimeter wave radar sensor and transmitting the data to a server end by the NB-IoT; then the server end transmits the analysis result to the paper rolling device end, and then the analysis result is displayed on the paper rolling device; the cloud server is mainly responsible for receiving data and then processing the data; through data processing, the conclusion of the total consumption of the roll paper, the existence of waste and the abnormal use of a single device can be obtained; then, the data is transmitted back to the equipment or displayed on a webpage; the treatment process comprises the following steps: as shown in figure 1 of the drawings, in which,
1) initializing a system, and acquiring signal intensity; the system initialization is to obtain the reflected signal intensity of the sensor under the two conditions of full roll paper and no roll paper in the current paper rolling device so as to calculate the residual percentage of the roll paper; sending a millimeter wave signal, measuring a roll of roll paper with metal as an inner core, obtaining a waveform diagram (shown in figure 3) of a sector area right in front of the sensor with respect to an abscissa as a distance and an ordinate as signal intensity, and obtaining signal intensity A when roll paper is full and signal intensity B when roll paper is empty by calculating a stable waveform;
the method for calculating the signal intensity A when the roll paper is full and the signal intensity B when the roll paper is empty by calculating the stable waveform in the step 1) comprises the following steps:
firstly, inputting: amplitude array P = { P0, P1, P2, …, PN }, the pitch of each dot in the array is 0.48 mm; the input P0-PN value is the signal strength received by the sensor;
step S1: setting a threshold value S, judging whether the Px-1< S & & Px > S exists or not, and returning to NULL if the Px-1< S & & Px > S does not exist; and if the X is the minimum X, judging whether Py-1> S & & Py < S exists, if so, taking the minimum Y as Y, and if not, taking N as Y.
Step S2: taking Pxy = { Px, …, Py } according to X and Y, and obtaining the maximum value Pmax in Pxy as the signal intensity, wherein the distance = (max +1) × 0.48; through the steps, when the roll paper is full, the measured Pmax is A; when the roll paper is empty, Pmax measured is B.
2) Collecting a reflection signal and carrying out filtering processing; normally loading roll paper, and carrying out data acquisition on the roll paper by using a millimeter wave radar surface; obtaining signal intensity R through calculation, and performing Kalman filtering on the signal intensity R to obtain current signal intensity C;
the maximum value Pmax obtained in the step 1) in the step 2) is used as the current signal strength R, and the step of obtaining the current signal strength C after performing kalman filtering on the signal strength R comprises the following steps:
firstly, inputting: calculating the obtained signal intensity R in the step 1); r is the Pmax value and represents the current signal strength;
step S1: setting the measurement R as a measurement error, Q as a system error, a Kalman filtering result on C _ last and P _ last as a covariance; c _ mid = C _ last, P _ mid = P _ last + Q;
step S2: let KG be kalman gain, KG = P _ mid/(P _ mid + R);
step S3: returning the Kalman filtering result C = C _ mid + KG (R-C _ mid);
step S4: calculating a covariance P _ now = (1-KG) × P _ mid;
step S5: update covariance P _ last = P _ now;
step S6: updating a Kalman filtering result C _ last = C;
c is the current signal and is updated in real time.
3) Obtaining the residual amount of the roll paper; the signal intensity A when the roll paper is full, the signal intensity B when the roll paper is empty and the current signal intensity C obtained in the previous two steps are substituted into the following formula: and (C-A)/(B-A), the residual amount of the roll paper can be obtained, and the purpose of roll paper detection is achieved.
The system adopts metal as the inner core of the paper winder, and experimental phenomena show that the signal intensity of the inner core of the metal is high (as shown in figure 2), and the signal absorption capacity of the paper winding is extremely strong. The material of the object in the paper rolling device can be judged by analyzing the attenuation degree of the signal. The signal shielding ability is weakened while the roll paper is consumed, and the roll paper amount of the roll paper machine is judged by analyzing the change of the signal intensity detected by the sensor. In addition, when the paper winder is abnormal, the sensor can judge whether other foreign matters exist in the paper winder or whether the paper winder is physically damaged, and the returned data is sent to the cloud end to give an alarm or give an alarm. The invention mainly adopts a millimeter wave radar sensor on the sensing layer technology, the sensor emits ultra-wide band millimeter waves, the accurate discrimination of ultra-wide band pulse signals on a time domain is utilized to realize accurate distance measurement, and the material quality of an object is judged by detecting the envelope of electromagnetic waves reflected by the object, thereby detecting the current paper quantity and whether foreign matters exist in a paper winder. And an NB-IoT protocol of a low-power-consumption wide area network is adopted in the transmission layer, the processed millimeter wave radar data is transmitted to a database of a cloud server through udp and coach protocols, and the cloud data is accessed through webpage login.
In the embodiment, the millimeter wave radar sensor is used, so that the conditions in a plurality of paper winders can be known; secondly, the NB-IoT module is used for transmitting data, and communication can be realized without depending on traditional networks such as network cables, wireless local area networks and the like; and thirdly, uploading data and performing operation at the cloud. Obtaining a more accurate conclusion through multi-device comparison; and the fourth server side analyzes the cloud data and can make a prompt. The invention ensures that the roll paper amount in the paper rolling device is recorded in a digital form and is more visually represented before people; meanwhile, the damage condition of the equipment can be detected, and the instant maintenance is ensured; solving the rational management of the roll paper is a key step for promoting the 'toilet revolution'. The civilization development degree of China and the living standard of people are improved.
Claims (3)
1. An intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT is characterized by comprising a roll paper device end and a cloud server end, wherein the roll paper device end is mainly used for acquiring envelope data formed by an iron core and roll paper by an ultra-wideband millimeter wave radar sensor and transmitting the data to the server end by the NB-IoT; the cloud server is mainly responsible for receiving data and then processing the data; through data processing, the conclusion of the total consumption of the roll paper, the existence of waste and the abnormal use of a single device can be obtained; then, the data is transmitted back to the equipment or displayed on a webpage; the treatment process comprises the following steps:
1) initializing a system, and acquiring signal intensity; the system initialization is to obtain the reflected signal intensity of the sensor under the two conditions of full roll paper and no roll paper in the current paper rolling device so as to calculate the residual percentage of the roll paper; sending a millimeter wave signal, measuring a roll of roll paper with metal as an inner core, obtaining a chart with a sector area right in front of the sensor and an abscissa as a distance and an ordinate as signal intensity, and obtaining signal intensity A when roll paper is full and signal intensity B when roll paper is empty by calculating a stable waveform;
2) collecting a reflection signal and carrying out filtering processing; normally loading roll paper, and carrying out data acquisition on the roll paper by using a millimeter wave radar surface; obtaining signal intensity R through calculation, and performing Kalman filtering on the signal intensity R to obtain current signal intensity C;
3) obtaining the residual amount of the roll paper; the signal intensity A when the roll paper is full, the signal intensity B when the roll paper is empty and the current signal intensity C obtained in the previous two steps are substituted into the following formula: and (C-A)/(B-A), the residual amount of the roll paper can be obtained, and the purpose of roll paper detection is achieved.
2. The intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT as claimed in claim 1, wherein the calculation method for obtaining the signal intensity A when roll paper is full and the signal intensity B when roll paper is empty by calculating the stabilized waveform in step 1) is as follows:
firstly, inputting: amplitude array P ═ { P0, P1, P2, …, PN }, the pitch of each point in the array is 0.48 mm; the input P0-PN value is the signal strength received by the sensor;
step S1: setting a threshold value S, judging whether the Px-1< S & & Px > S exists or not, and returning to NULL if the Px-1< S & & Px > S does not exist; if the X is X, the minimum X is selected, whether Py-1> S & & Py < S exists is judged, if yes, the minimum Y is Y, and if not, N is Y;
step S2: obtaining the maximum value Pmax of Pxy as the signal intensity according to X and Y, wherein Pxy is { Px, …, Py }, and the distance is (max +1) × 0.48; through the steps, when the roll paper is full, the measured Pmax is A; when the roll paper is empty, Pmax measured is B.
3. The system as claimed in claim 2, wherein the step 2) of obtaining the signal strength R through calculation, and the step of obtaining the current signal strength C after performing kalman filtering on the signal strength R comprises:
firstly, inputting: calculating the obtained signal intensity R in the step 1); r is the Pmax value and represents the current signal strength;
step S1: setting the measurement R as a measurement error, Q as a system error, a Kalman filtering result on C _ last and P _ last as a covariance; c _ mid ═ C _ last; p _ mid ═ P _ last + Q;
step S2: let KG be kalman gain, KG ═ P _ mid/(P _ mid + R);
step S3: returning the Kalman filtering result C-C _ mid + KG (R-C _ mid) of the time;
step S4: calculating a covariance (P _ now) (1-KG) × P _ mid;
step S5: updating the covariance P _ last ═ P _ now;
step S6: updating a Kalman filtering result C _ last ═ C;
c is the current signal and is updated in real time.
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| JP2003072984A (en) * | 2001-08-31 | 2003-03-12 | Ricoh Co Ltd | Paper sheet remaining amount detecting device and image forming device |
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